What is JARAI Studio?

JARAI Studio is an autonomous content production pipeline that uses generative AI to produce video, audio, image, and text content end-to-end. It’s built for organisations that want to produce branded content at scale without managing the AI provider stack themselves.

🎬 What is JARAI Studio?

Prefer to read? Open the step-by-step transcript

JARAI turns a short brief into finished, ready-to-publish media — automatically.

• You describe what you want — a project type (video, podcast, article…) and a theme.
• A 15-step AI pipeline runs — script, images, voiceover, video, packaging.
• You review and approve — operators in the Console, customers in the Client Portal.
• JARAI distributes and tracks — approved content publishes to your channels.

The rest of this page covers what it produces and who uses it.

What it produces

• Short-form video for social platforms (TikTok, Instagram Reels, YouTube Shorts, LinkedIn)
• Long-form video for podcast-style episodes and educational content
• Audio-only for podcast feeds + audiobook chapters
• Image stills for stock-marketplace listings and editorial use
• Article + book manuscripts with derivative formats (audiobook, e-pub, print)

Every production runs through a multi-step pipeline (Steps 1-15) covering, depending on the project type, brief generation → narrative → scene scripting → image acquisition → voiceover → soundtrack → video composition → platform-variant rendering → SEO metadata → attribution → quality gates → distribution.

The two surfaces

Surface	URL	Audience	What they do
Studio Console	console.jarai.studio	Operators	Configure pipelines, manage avatars, monitor productions, distribute deliverables
Client Portal	portal.jarai.studio	Customers	Review productions, approve or reject content, manage subscriptions, exercise privacy rights

How content gets produced

The walkthrough below describes one way of working: a studio producing content on behalf of an end customer, with review and approval passing between the two. That is not the only mode JARAI supports.

A solo creator, for example, can run the whole pipeline themselves — triggering productions, watching each step, and publishing without a separate approval party. Read the steps below as the fullest version of the flow, and ignore the parts that describe a hand-off you do not have.

1. Operator triggers a production from the Studio Console (manually, on a schedule, or from a content brief).
2. JARAI’s pipeline runs Steps 1-15 autonomously, calling AI providers (OpenAI, Anthropic, ElevenLabs, etc.) per step.
3. Customer reviews the resulting production in the Client Portal — approves it (publishes) or rejects it (nothing publishes; the production and its deliverables aren’t deleted) — or requests changes via their operator.
4. Distribution ships the approved content to the customer’s chosen platforms (Loop 2 of the pipeline).
5. Performance summarisation (Loop 3-4) tracks engagement and feeds it back into future productions.

Where to learn more

• First production walkthrough — operators’ getting-started guide
• Onboarding to the Client Portal — customers’ getting-started guide
• Glossary — definitions for the terms used throughout this help centre
• FAQ — common questions for both audiences